Senior ML Engineer — Anomaly Detection for Battery QC

Titan Advanced Energy Solutions; Boston (MA); On-site; USD 150,000 - 210,000; Full time

Job summary

You will design scalable anomaly metrics, manage model registries (MLflow), and ensure traceability and reproducibility. This is a hands‑on senior role focusing on production systems, data pipelines, and cross‑site deployments.

Qualifications

• Strong applied ML background in designing and training deep learning models.
• Experience with anomaly detection methods and evaluation.
• End‑to‑end ML pipelines with lineage and reproducibility.

Responsibilities

• Design, build, and iterate anomaly-detection for abnormal cell scans.
• Ensure production-scale throughput, traceability, and model versioning.
• Own ML pipeline from training to inference, including CI/CD and registry.
• Build Battery Quality Library with multi‑modal data extraction for training.
• Define production‑fit anomaly metrics grounded in the physics of the cell.
• Package models for cloud and edge deployment; monitor post‑deployment.
• Support pilots across regions to inform implementation strategy.

Skills

Deep learning

DL frameworks

Anomaly detection

ML pipelines

Python programming

Docker & CI/CD

AWS SageMaker

MLflow

Production ML

Tools

MLflow

Job description

You will design scalable anomaly metrics, manage model registries (MLflow), and ensure traceability and reproducibility. This is a hands‑on senior role focusing on production systems, data pipelines, and cross‑site deployments.